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Grey Wolf Optimization Algorithm for a Concurrent Real-Time Optimization Problem in Game Theory

Adam M. Górski

Adam M. Górski

Institute of Applied Computer Science, Jagiellonian UniversityPoland
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Górski, Adam M.
 e 
Maciej Ogorzałek

Maciej Ogorzałek

Institute of Applied Computer Science, Jagiellonian UniversityPoland
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Ogorzałek, Maciej
  
26 giu 2025
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Pubblicato online: 26 giu 2025
Pagine: 65 - 72
Ricevuto: 12 nov 2024
Accettato: 13 gen 2025
DOI: https://doi.org/10.14313/jamris-2025-016
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© 2025 Adam M. Górski et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Chierarchy in a group of wolves
Chierarchy in a group of wolves

Figure 2.

A sheaf graph presenting a single iteration
A sheaf graph presenting a single iteration

Figure 3.

A percentage presentation of a number of valid results for the first set of parameters for the first group of experiments
A percentage presentation of a number of valid results for the first set of parameters for the first group of experiments

Figure 4.

A percentage presentation of a number of valid results for the second set of parameters for the first group of experiments
A percentage presentation of a number of valid results for the second set of parameters for the first group of experiments

Figure 5.

A percentage presentation of a number of valid results for the first set of parameters for the second group of experiments
A percentage presentation of a number of valid results for the first set of parameters for the second group of experiments

Figure 6.

A percentage presentation of a number of valid results for the second set of parameters for the second group of experiments
A percentage presentation of a number of valid results for the second set of parameters for the second group of experiments

The results for three parameters

Imax GW 2024 Random
m w Ib Ia % of winning solutions Ib Ia % of winning solutions
5 12 4 3 4 14 – – 0
10 12 4 4 7 56 9 10 8
20 12 4 4 10 92 10 16 88
50 12 4 4 11 100 9 16 100
5 15 5 4 5 20 – – 0
10 15 5 4 8 60 8 10 18
20 15 5 4 11 94 9 16 92
50 15 5 5 12 100 9 16 100

The results for four parameters

Imax GW 2024 Random
m w Ib Ia % of winning solutions Ib Ia % of winning solutions
5 20 4 4 5 22 – – 0
10 20 4 4 9 56 – – 0
20 20 4 6 15 94 18 19 10
50 20 4 5 19 100 18 27 98
5 25 5 5 5 30 – – 0
10 25 5 5 9 68 0
20 25 5 5 14 94 20 20 4
50 25 5 6 16 100 19 25 100
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Informatica, Intelligenza artificiale, Ingegneria, Elettrotecnica, Ingegneria dell'automazione, metrologia e collaudo, Ingegneria meccanica, Basi dell'ingegneria meccanica
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